ArticleInternational journal of population data science2020
Population Data Centre Profiles: Centre for Data Linkage.
Article in International journal of population data science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 17 citations in OpenAlex.
- Statistical Methods for Multi-jurisdictional Australian Vaccine Safety Investigations of Rare Adverse Events.Drug safety · 2026Article
- EUPID-configurable privacy-preserving record linkage in federated health data spaces.Frontiers in digital health · 2026Article
- Identification of Rana dybowskii Ferritin-Heavy chain gene and analysis of its role during bacterial infection.PloS one · 2025Article
- A longitudinal birth cohort study of child maltreatment and mental disorders using linked statewide child protection and administrative health data for 83,050 Queensland residents from 1983 to 2014.Epidemiology and psychiatric sciences · 2024Article
- Article
- Australian arm of the International Spinal Cord Injury (Aus-InSCI) community survey: 1. population-based design, methodology and cohort profile.Spinal cord · 2023Article
- Linkage of the Avon Longitudinal Study of Parents and Children (ALSPAC) to Avon & Somerset Police regional police records.Wellcome open research · 2023Article
- Article
- Unlocking Potential within Health Systems Using Privacy-Preserving Record Linkage: Exploring Chronic Kidney Disease Outcomes through Linked Data Modelling.Applied clinical informatics · 2022Article
- Population health science as a unifying foundation for translational clinical and public health research.SSM - population health · 2022Article
- A blinded evaluation of privacy preserving record linkage with Bloom filters.BMC medical research methodology · 2022Article
- Secure Record Linkage of Large Health Data Sets: Evaluation of a Hybrid Cloud Model.JMIR medical informatics · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Centre for Data Linkage (CDL) was established at Curtin University, Western Australia, to develop infrastructure to enable cross-jurisdictional record linkage in Australia. The CDL's operating model makes use of the 'separation principle', with content data typically provided to researchers directly by the data custodian; jurisdictional linkage where available are used within the linkage process. Along with conducting record linkage, the team has also invested in establishing a research programme in record linkage methodology and in developing modern record linkage software which can handle the size and complexity of today's workloads. The Centre has been instrumental in the development of practical methods for privacy-preserving record linkage, with this methodology now regularly used for real-world linkages. While the promise of a nation-wide linkage system in Australia has yet to be met, distributed models provide a potential solution.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.